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Zhang group receives Best Paper Award
Prof. Zhiru Zhang and his co-authors Yi-Hsiang Lai, Yuze Chi, Yuwei Hu, Jie Wang, Cody Hao Yu, Yuan Zhou, and Prof. Jason Cong have received the Best Paper Award at the 27th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays held in Seaside, CA, February 24-26, 2019. Their paper, "HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing" results from a collaborative project between Prof. Zhang’s research group at Cornell and Prof. Cong’s group at UCLA. HeteroCL is a highly productive programming infrastructure for heterogeneous platforms integrating CPUs and hardware accelerators like FPGAs.
The ACM/SIGDA International Symposium on Field-Programmable Gate Arrays is the premier conference for presentation of advances in all areas related to the FPGA technology, including FPGA architecture, FPGA circuit design, CAD for FPGAs, high-level abstractions and tools for FPGAs, FPGA-based and FPGA-like computing engines, as well as applications and design studies. This year's Best Paper Award is selected from a total of 161 submissions.
Zhang is an Associate Professor in the School of Electrical and Computer Engineering at Cornell University and a member of the Computer Systems Laboratory. His research investigates new algorithms, methodologies, and tools to extend the frontiers of design automation for high-performance and energy-efficient computer systems. Recent publications have focused on the topics of high-level synthesis, architecture and compiler optimization for hardware specialization, and software-defined reconfigurable systems.
Zhang received a Ph.D. in computer science from the University of California, Los Angeles (UCLA). Upon graduation, he co-founded AutoESL Design Technologies, Inc. based on his dissertation research at UCLA on high-level synthesis. AutoESL was acquired by Xilinx in 2011 and its high-level synthesis tool is now known as Vivado HLS; from 2011 to 2012, he served as a software development manager at Xilinx. Zhang also has a B.S. in computer science from Peking University and an M.S. in computer science from UCLA.
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